Senior Data Analyst

DGH Recruitment Ltd
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Marketing

Senior Data Architect

Data Engineer

Senior Systems and Data Analyst (Grade L)

Settlements Data Analyst

Senior Data Analyst

An exciting opportunity has arisen for a Senior Data Analyst to join and will take the lead on shaping and delivering the company's data strategy, working closely with senior stakeholders across the business.

This position is ideal for someone who is both technically hands‑on and capable of driving strategic data initiatives, with a clear progression route into future leadership.

Responsibilities:

Lead the design and delivery of data solutions that support business growth.
Develop advanced dashboards and reporting, primarily using Power BI.
Own and manage data quality and data processes within Dynamics 365.
Build scalable data models, ETL pipelines, APIs and system integrations.
Manage the data team's ticketing workflow and ensure timely resolution of issues.
Translate requirements from technical and non‑technical stakeholders into actionable solutions.
Champion best practice in data governance, security, FCA compliance and GDPR.
Produce and maintain technical documentation including data dictionaries and maps.
Mentor junior team members and help shape the growing data function.

Required Experience & Skills

Strong background in data analytics or data engineering, ideally within regulated environments.
Advanced experience with Power BI and Dynamics 365.
Skilled in SQL, Python, API development and systems integration.
Experience building scalable data architectures and ETL processes.
Excellent communication skills with the ability to simplify complex concepts.
Proven project delivery across multiple workstreams.
Thorough understanding of data governance and security principles.
Experience mentoring others and a desire to progress into leadership.

In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.

DGH Recruitment Limited acts as both an Employment Agency and Employment Business

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.